44 lines
2.0 KiB
Python
44 lines
2.0 KiB
Python
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import cv2
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import operator
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import picamera
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import picamera.array
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face_cascade=cv2.CascadeClassifier("./haarcascade_frontalface_alt2.xml")
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profile_cascade=cv2.CascadeClassifier("./haarcascade_profileface.xml")
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marge=70
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WIDTH=640
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HEIGHT=480
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with picamera.PiCamera() as camera:
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with picamera.array.PiRGBArray(camera) as stream:
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camera.resolution=(WIDTH, HEIGHT)
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while True:
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camera.capture(stream, 'bgr', use_video_port=True)
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tab_face=[]
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tickmark=cv2.getTickCount()
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gray=cv2.cvtColor(stream.array, cv2.COLOR_BGR2GRAY)
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face=face_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=4, minSize=(5, 5))
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for x, y, w, h in face:
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tab_face.append([x, y, x+w, y+h])
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face=profile_cascade.detectMultiScale(gray, scaleFactor=1.2, minNeighbors=4)
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for x, y, w, h in face:
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tab_face.append([x, y, x+w, y+h])
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gray2=cv2.flip(gray, 1)
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face=profile_cascade.detectMultiScale(gray2, scaleFactor=1.2, minNeighbors=4)
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for x, y, w, h in face:
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tab_face.append([WIDTH-x, y, WIDTH-(x+w), y+h])
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tab_face=sorted(tab_face, key=operator.itemgetter(0, 1))
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index=0
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for x, y, x2, y2 in tab_face:
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if not index or (x-tab_face[index-1][0]>marge or y-tab_face[index-1][1]>marge):
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cv2.rectangle(stream.array, (x, y), (x2, y2), (0, 0, 255), 2)
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index+=1
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if cv2.waitKey(1)&0xFF==ord('q'):
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break
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fps=cv2.getTickFrequency()/(cv2.getTickCount()-tickmark)
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cv2.putText(stream.array, "FPS: {:05.2f}".format(fps), (10, 30), cv2.FONT_HERSHEY_PLAIN, 2, (255, 0, 0), 2)
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cv2.imshow('video', stream.array)
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stream.seek(0)
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stream.truncate()
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cv2.destroyAllWindows()
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